SLM Governance

SLM Governance is an AI Engineering skill for Claude Code, published by qualixar in superlocalmemory.

223 stars34 forkson qualixar/superlocalmemoryAdded 2026/09/03Repository updated 2026/09/03

agent-memoryagent-reliabilityai-agentsclaude-codecursorknowledge-graphllm-memorylocal-firstmcpmcp-serverpersistent-memoryqualixarsemantic-searchvector-searchwindsurf

Install in seconds

Install SLM Governance

Copy SLM Governance into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/qualixar/superlocalmemory/tree/main/antigravity-plugin/skills/slm-governance ~/.claude/skills/slm-governance

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/qualixar/superlocalmemory.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: antigravity-plugin/skills/slm-governance/SKILL.md in qualixar/superlocalmemory
Installs to: ~/.claude/skills/slm-governance
Collection: One of 15 skills cataloged from this repository
Category: AI Engineering — 2793 skills

What SLM Governance does

SLM Governance defines role-based behavior for SuperLocalMemory in governed workspaces. It covers retention policies, audit trails, GDPR export and erasure, and when agents may read or write under admin, member, or viewer access.

SLM Governance is cataloged under AI Engineering on DirSkills. SLM Governance comes from a repository tagged agent-memory, agent-reliability, ai-agents, claude-code and cursor.

Documentation

README

Excerpt

slm-governance — Enterprise Compliance and Governed Workspace Behavior

SuperLocalMemory supports enterprise deployments with role-based access control, retention policies, audit logging, and GDPR compliance tooling. This skill documents how agents must behave when operating in a governed workspace and how to use the governance MCP tools (available in the power profile).

Role model

Governed workspaces have three roles:

Role	Read	Write personal	Write shared/global	Admin operations
`viewer`	Yes	No	No	No
`member`	Yes	Yes	Yes (within access list)	No
`admin`	Yes	Yes	Yes (unrestricted)	Yes

Agent behavior by role:

This is the opening of the README. Read the full README on GitHub.

Frequently asked about SLM Governance

What else does qualixar publish alongside SLM Governance?
SLM Governance is one of 15 skills that DirSkills catalogs from qualixar/superlocalmemory, the repository it ships in. Its siblings there include SLM Cache, SLM Graph and SLM Loop. Each one is a separate skill with its own page in this directory, installs the same way SLM Governance does, and is maintained by qualixar in that same repository. The rest of the collection is listed on the qualixar/superlocalmemory page.
How does SLM Governance compare to other AI Engineering skills?
SLM Governance ranks #2545 by stars among the 2793 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of SLM Governance against them. Open each page to compare what they document and how they install.